UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 2
March-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1702012


Registration ID:
170044

Page Number

50-57

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Title

Automatic Artifact Correction of EEG Signals using Wavelet Transform

Abstract

Electroencephalographic data is usually affected by artifacts produced from non cerebral origins such as ocular movements, Electromyogram activity and other electrical noises. It is needed to remove artifacts from electroencephalogram activity prior to information extraction and classification of Electroencephalographic activity. This work suggests an automated technique of artifact correction and noise suppression of scalp EEG data. The proposed technique helps in error-free classification of different electroencephalogram signals for implementation of a Brain-Computer interface and diagnosis of various diseases. This method uses independent component analysis for decomposition of EEG signals in independent components and Wavelet Transform denoising of the EEG signals. The identification of the artifactual independent component is done by the Fractal Sparsity criterion. The results of the methodology are validated by quantitative evaluation of the simulations performed for Electroencephalogram data. The results validate the efficacy of proposed artifact removal technique in correcting Electroencephalographic activity.

Key Words

Electroencephalogram, Artifact correction, Independent Component Analysis, Wavelet Transform

Cite This Article

"Automatic Artifact Correction of EEG Signals using Wavelet Transform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 2, page no.50-57, February-2017, Available :http://www.jetir.org/papers/JETIR1702012.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Automatic Artifact Correction of EEG Signals using Wavelet Transform", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 2, page no. pp50-57, February-2017, Available at : http://www.jetir.org/papers/JETIR1702012.pdf

Publication Details

Published Paper ID: JETIR1702012
Registration ID: 170044
Published In: Volume 4 | Issue 2 | Year March-2017
DOI (Digital Object Identifier):
Page No: 50-57
Country: Jabalpur, Madhya Pradesh, other .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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